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MCG-NJU
/
videomae-base

Video Classification
Transformers
PyTorch
Safetensors
videomae
pretraining
vision
Model card Files Files and versions
xet
Community
4

Instructions to use MCG-NJU/videomae-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use MCG-NJU/videomae-base with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("video-classification", model="MCG-NJU/videomae-base")
    # Load model directly
    from transformers import AutoImageProcessor, AutoModelForPreTraining
    
    processor = AutoImageProcessor.from_pretrained("MCG-NJU/videomae-base")
    model = AutoModelForPreTraining.from_pretrained("MCG-NJU/videomae-base")
  • Notebooks
  • Google Colab
  • Kaggle
videomae-base
754 MB
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  • 2 contributors
History: 13 commits
nielsr's picture
nielsr HF Staff
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model (#3)
dc740ce verified about 2 years ago
  • .gitattributes
    1.4 kB
    Adding `safetensors` variant of this model (#3) about 2 years ago
  • README.md
    3.77 kB
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  • config.json
    725 Bytes
    Upload VideoMAEForPreTraining almost 4 years ago
  • model.safetensors
    377 MB
    xet
    Adding `safetensors` variant of this model (#3) about 2 years ago
  • preprocessor_config.json
    271 Bytes
    Upload preprocessor_config.json almost 4 years ago
  • pytorch_model.bin
    377 MB
    xet
    Upload VideoMAEForPreTraining almost 4 years ago